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AndriyMulyar proslijedio/la je Tweet
You know Zagier’s brilliant-but-baffling “one sentence proof” that every prime of the form 4k+1 is the sum of two squares? It turns out there’s a lovely intuitive explanation of it! https://mathoverflow.net/a/299696/8217 pic.twitter.com/uoSLHwjbF5
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AndriyMulyar proslijedio/la je Tweet
Reviewer 2: This paper is clear and thorough, but it unfortunately failed to trigger my $$\sum$$ receptor. Author: We thank Reviewer 2 for their feedback and have copy pasted the definition of AdaBoost into our paper.pic.twitter.com/vfUGCUVdva
Ovo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
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AndriyMulyar proslijedio/la je Tweet
New blog post! This time I'm looking at recent advances in memory-efficient training and where that might lead.http://mitchgordon.me/machine/learning/2020/01/13/do-we-really-need-model-compression.html …
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AndriyMulyar proslijedio/la je Tweet
I found it! Turns out it was not as directly applicable as I remembered, but still a very interesting and deeply technical read:https://0x65.dev/blog/2019-12-07/indexing-billions-of-text-vectors.html …
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AndriyMulyar proslijedio/la je Tweet
a HUGE problems in NLP, imo, is that to make actual progress, or to build something which is actually good, you just cannot escape doing very elaborate and laborious work on the messy details. language is messy, and we cannot esccape that.https://twitter.com/evanmiltenburg/status/1216647434849353729 …
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AndriyMulyar proslijedio/la je Tweet
Justification for the optimism about neural networks: there won't be any need for preprocessing. You can just train from pixels, and with enough compute and enough data, they will approximate the best possible for the task at hand. (8)pic.twitter.com/QCT4bATqDK
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AndriyMulyar proslijedio/la je Tweet
This is exactly the tactic
@celestekidd warned about in her recent keynote: https://www.docdroid.net/u5r0j3S/kidd-neurips.pdf … "There’s a sense that a career could be destroyed over awkward passes or misunderstandings... What I want to say today to all of the men in the room is that you have been misled."https://twitter.com/andrew_chung_/status/1214533762781995008 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
AndriyMulyar proslijedio/la je Tweet
How about abolishing conferences altogether?
http://www.cis.jhu.edu/publications/papers_in_database/GEMAN/Ten_Reasons.pdf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
AndriyMulyar proslijedio/la je Tweet
You might have seen some press recently about a study Google did where they trained a neural net to read mammograms more accurately than doctors. As usual, that's not the real story. What is, is the sad state of the American healthcare industry.https://vicki.substack.com/p/ai-wont-save-healthcare …
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AndriyMulyar proslijedio/la je Tweet
Thanks! For a 1-pager on DAGs, I give this page from AJE 2005 (https://doi.org/10.1093/aje/kwi187 … with major credit to co-author
@EpiDancer) and I like the chapter in Oakes & Kaufman Methods for Social Epi. I learned from@Lester_Domes@yudapearl & Robins: http://ftp.cs.ucla.edu/pub/stat_ser/r251.pdf …. https://twitter.com/ngderekk/status/1213933186683723779 …pic.twitter.com/a4RjnkA95W
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AndriyMulyar proslijedio/la je Tweet
It took me a while to recap bc some papers are complex. Key points: - Destructing black box: convergence, generalization, neural tangent kernel - New approaches: Bayesian & uncertainty, graph, convex optimization - Neuroscience & bio-inspired algos - ...https://huyenchip.com/2019/12/18/key-trends-neurips-2019.html …
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AndriyMulyar proslijedio/la je Tweet
Since I've been complaining about techbros today (in general, and one in particular), I thought it might also be good to write a thread on how to not be that guy:
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AndriyMulyar proslijedio/la je Tweet
Our new paper, Deep Learning for Symbolic Mathematics, is now on arXiv https://arxiv.org/abs/1912.01412 We added *a lot* of new results compared to the original submission. With
@f_charton (1/7)pic.twitter.com/GrhQRT5WRW
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AndriyMulyar proslijedio/la je Tweet
Code release for "What's hidden in a randomly weighted neural network?" Code: https://github.com/allenai/hidden-networks … Arxiv: https://arxiv.org/abs/1911.13299 Discussion thread belowhttps://twitter.com/Mitchnw/status/1201575787100561408 …
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AndriyMulyar proslijedio/la je Tweet
To people asking for a debugging guide,
@josh_tobin_ wrote a pretty comprehensive one: http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
BERT Long Document Classification http://andriymulyar.com/blog/bert-document-classification …
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AndriyMulyar proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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AndriyMulyar proslijedio/la je Tweet
+1. When I ran EMNLP in 2007, we wrote and saved many emails laying out clear expectations for authors, reviewers, ACs, presenters, & session chairs. These were used by several *ACL conferences thereafter. Available on request. https://www.cs.jhu.edu/~jason/advice/how-to-chair-a-conference.html …
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